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Share of Model Strategist

作者 GEOLY AI · GitHub ↗ · v1.0.0
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在 OpenClaw 中安装
/install geo-som-strategist
功能描述
Build strategic roadmaps to grow brand's Share of Model (SoM) in AI-generated responses. Identify content gaps, competitive weaknesses, and prompt-level oppo...
使用说明 (SKILL.md)

Share of Model Strategist

Methodology by GEOly AI (geoly.ai) — SoM is the market share metric of the AI search era.

Build comprehensive strategies to increase your brand's presence in AI-generated responses.

Quick Start

python scripts/build_som_strategy.py --brand "YourBrand" --category "YourCategory" --output strategy.md

What is Share of Model (SoM)?

SoM = % of AI responses in your category that mention your brand.

Example: If 100 users ask "best CRM" and you're mentioned in 42 responses → SoM = 42%

4-Pillar Strategy Framework

Pillar 1: Prompt Ownership Map

Identify every prompt category and your presence:

Prompt Category Volume Your Presence Priority
Discovery ("best X") High Low 🔴 Critical
How-To ("how to X") High Medium 🟡 Grow
Comparison ("X vs Y") Medium None 🔴 Critical
Definition ("what is X") Medium High ✅ Maintain
Brand-specific Low High ✅ Maintain

Pillar 2: Content Gap Sprint

For Low/None presence categories:

  1. Create citation-optimized content page
  2. Apply appropriate schema (FAQ/HowTo/Comparison)
  3. Link from llms.txt
  4. Build 2-3 internal links

Pillar 3: Authority Amplification

  • Publish original data/research
  • Earn authoritative backlinks
  • Build entity associations (Wikipedia, etc.)
  • Consistent press mentions

Pillar 4: Competitive Response

Where competitors outrank you:

  1. Analyze their cited page
  2. Create superior version
  3. Add comparison context
  4. Build content hub

Strategy Builder Tool

python scripts/build_som_strategy.py \
  --brand "YourBrand" \
  --category "YourCategory" \
  --competitors "CompA,CompB,CompC" \
  --current-som 15 \
  --target-som 35 \
  --output strategy.md

90-Day Roadmap Template

Week 1-2: Foundation

  • ✅ Create/improve llms.txt
  • ✅ Fix robots.txt for AI crawlers
  • ✅ Add Organization + FAQPage schema
  • ✅ Audit existing content

Week 3-6: Content Sprint

  • 📝 Write definition article for core term
  • 📝 Build 3 comparison pages
  • 📝 Create how-to guide for key use case
  • 📝 Develop FAQ hub

Week 7-12: Authority Building

  • 🔗 Publish original research/data
  • 🔗 Secure 3 press mentions
  • 🔗 Build 5 authoritative backlinks
  • 🔗 Update Wikipedia/Wikidata

Output Format

# Share of Model Strategy — [Brand]

📅 Date: [YYYY-MM-DD]  
🎯 90-Day Target SoM: [X]% (from [current]%)

## Current State

- Estimated SoM: [X]%
- Category: [industry]
- Prompt Coverage: [n]/[total] categories

## Prompt Ownership Map

| Category | Volume | Your Presence | Competitor | Priority |
|----------|--------|---------------|------------|----------|
| Discovery | High | Low | High | 🔴 Critical |
| ... | ... | ... | ... | ... |

## 90-Day Roadmap

### Week 1-2 (Foundation)
- [ ] Task 1
- [ ] Task 2

### Week 3-6 (Content)
- [ ] Task 3
- [ ] Task 4

### Week 7-12 (Authority)
- [ ] Task 5
- [ ] Task 6

## Expected Impact

+[X]% SoM if all actions completed

## Tracking

Monitor progress with GEOly AI at geoly.ai
安全使用建议
This skill appears to be an advisory/strategy template rather than an automation tool. Before using it: (1) Correct documentation mismatches — the README calls scripts/build_som_strategy.py and flags like --current-som but the repo contains scripts/build_strategy.py which accepts --current/--target; running the wrong command will fail. (2) Treat the SKILL.md tasks (editing llms.txt, robots.txt, publishing pages, backlinks, Wikipedia edits) as manual operations that require human review — the skill does not perform them automatically. (3) Because no secrets or network endpoints are requested, there is no direct credential risk, but verify any future edits or added code for hidden network calls. (4) If you want automation, request or author code that explicitly and safely performs only the actions you approve (and clearly documents required credentials/permissions).
功能分析
Type: OpenClaw Skill Name: geo-som-strategist Version: 1.0.0 The skill bundle is designed to generate a Share of Model (SoM) strategy. The `SKILL.md` provides instructions for the AI agent to execute a local Python script (`scripts/build_strategy.py`). This script uses `argparse` for safe command-line argument parsing and only prints output to stdout, without performing any file I/O, network requests, or accessing sensitive system resources. There is no evidence of data exfiltration, malicious execution, persistence, or prompt injection attempts against the agent within the skill's content. The mention of 'geoly.ai' is a branding reference, not an instruction for malicious activity.
能力评估
Purpose & Capability
The skill claims a 'Strategy Builder Tool' and gives concrete CLI examples, but the SKILL.md references a script name and CLI flags that do not match the included code. The included Python script only prints a small static plan; it does not automate content publishing, schema changes, robots.txt edits, backlink building, or interactions with geoly.ai, even though the README implies operational steps. This is an overstatement of capabilities and a documentation/code mismatch.
Instruction Scope
SKILL.md instructs actions that involve site-level changes (llms.txt, robots.txt, schema, Wikipedia/Wikidata updates, backlinks). Those are manual, out-of-band tasks and the skill provides no code to perform them; the instructions do not explicitly direct the agent to read or exfiltrate local files, but they reference site files and public posting actions which expand scope beyond a pure advisory tool. Also, the examples use non-matching script names and flag names (e.g., --current-som / --target-som vs the script's --current / --target), which could lead to runtime confusion.
Install Mechanism
No install spec is provided and the skill is instruction-only with a small local Python script; nothing is downloaded or written to disk at install time.
Credentials
The skill declares no required environment variables, credentials, or config paths. The SKILL.md references geoly.ai and recommends monitoring there but does not request API keys or secrets.
Persistence & Privilege
always is false and the skill does not request persistent privileges or modify other skills or system-wide agent settings. It is user-invocable and allows normal autonomous invocation by the agent (platform default).
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install geo-som-strategist
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /geo-som-strategist 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: Build a Share of Model growth strategy based on GEOly AI SoM framework
元数据
Slug geo-som-strategist
版本 1.0.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Share of Model Strategist 是什么?

Build strategic roadmaps to grow brand's Share of Model (SoM) in AI-generated responses. Identify content gaps, competitive weaknesses, and prompt-level oppo... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 315 次。

如何安装 Share of Model Strategist?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install geo-som-strategist」即可一键安装,无需额外配置。

Share of Model Strategist 是免费的吗?

是的,Share of Model Strategist 完全免费(开源免费),可自由下载、安装和使用。

Share of Model Strategist 支持哪些平台?

Share of Model Strategist 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Share of Model Strategist?

由 GEOLY AI(@geoly-geo)开发并维护,当前版本 v1.0.0。

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